CN116883540A - PRPD image partial discharge data processing method and system - Google Patents
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Abstract
The application relates to the technical field of PRPD image data processing, and discloses a PRPD image partial discharge data processing method and a PRPD image partial discharge data processing system, wherein the PRPD image partial discharge data processing method comprises the following steps: opening up a matrix with the size of 255 x N in a memory space; obtaining discharge quantity Q at partial discharge i Actual voltage and number of discharges n i The method comprises the steps of carrying out a first treatment on the surface of the Will discharge Q i Normalized to an integer Q between 0 and 255 i C The method comprises the steps of carrying out a first treatment on the surface of the Calculating discharge phase phi i The method comprises the steps of carrying out a first treatment on the surface of the Will discharge phase phi i Normalized to an integer phi between 0 and N i C The method comprises the steps of carrying out a first treatment on the surface of the Number of discharges n i Normalized to an integer n between 0 and 255 i C The method comprises the steps of carrying out a first treatment on the surface of the Will n i C Write the corresponding position (Q) of each element in the matrix i C ,φ i C ) A place; traversing matrixAnd extracting non-zero elements to form a PRPD image non-zero pixel list. The application compresses the partial discharge data of the original PRPD image, reduces the occupied space of resources and improves the data processing rate.
Description
Technical Field
The application relates to the technical field of PRPD image data processing, in particular to a PRPD image partial discharge data processing method and system.
Background
For high-voltage electrical equipment such as motors and transformers, certain defects (e.g., gaps, clearances, cracks) exist in or on the insulation system due to the manufacturing process, the use environment and the like, so that partial discharge detection is performed on the insulation body in the production design and production manufacturing links, and the defects insulate the voltage applied to the insulation body and generate discharge activities at the defects.
In the process of measuring partial discharge of the product, the phase of the partial discharge is obtained at the same time, and the phase phi is counted i Down-take-place discharge quantity Q i And forms a sheet of width phi max (maximum phase) and height Q max An image of (maximum discharge amount), in which the pixel gradation indicates the partial discharge number n, is called a PRPD (Phase Resolved Partial Discharge, phase-dependent partial discharge map) image. The PRPD image can be used for judging the mode of partial discharge and representing the poor insulation condition of the detected piece.
The acquisition of partial discharge is carried out by using a high-precision high-speed analog-digital conversion chip, and the method is characterized by high data acquisition precision. Therefore, when the PRPD image is drawn, the acquisition unit needs to open up a larger buffer space, the generated data needs a larger data bandwidth, and the resources occupied by traversing the data in the image drawing and analyzing process are larger; the phase data resolution is high, so that the corresponding pixels are excessively dispersed when discharge occurs each time; aiming at the same tested product, the test is carried out under the same power frequency voltage, and the phase and discharge quantity of partial discharge are concentrated, so that a large amount of zero data occupy memory space, and the effective utilization rate of resources is low.
Disclosure of Invention
In order to solve the technical problems, one of the purposes of the present application is to provide a PRPD image partial discharge data processing method, which reduces the resource occupation space by compressing the original PRPD image partial discharge data, and the processed data has no non-zero data, so as to improve the data processing rate and improve the PRPD image drawing efficiency.
In order to achieve the aim of the application, the application is realized by adopting the following technical scheme:
a PRPD image partial discharge data processing method for processing original PRPD image partial discharge data including original phase data and original discharge amount data, the PRPD image partial discharge data processing method comprising:
opening up a matrix with the size of 255 x N in a memory space, wherein N is 90, 180 or 360, and each element in the matrix occupies 1 byte;
exciting the tested object by using an excitation signal source which is the same as power frequency alternating current for acquiring the partial discharge data of the original PRPD image, and acquiring the discharge quantity Q during partial discharge i Actual voltage and number of discharges n i ；
According to the discharge quantity Q i And original discharge amount data, the discharge amount Q i Normalized to an integer Q between 0 and 255 i C ；
Calculating the discharge phase phi from the known maximum voltage value and the obtained actual voltage i ；
According to discharge phase phi i And the quotient between 360 and N, the discharge phase phi i Normalized to an integer phi between 0 and N i C ；
According to the number of discharge times n i And maximum number of discharges, n i Normalized to an integer n between 0 and 255 i C ；
Will n i C Write the corresponding position (Q) of each element in the matrix i C ,φ i C ) A place;
traversing all elements in the matrix, extracting non-zero elements, and forming a PRPD image non-zero pixel list.
In some embodiments of the application, the PRPD image non-zero pixel list includes:
a plurality of addresses, each address corresponding to a non-zero element in the matrix and a discharge phase and a discharge amount corresponding to the non-zero element,
wherein the value of the non-zero element represents the number of discharges.
In some embodiments of the present application, a partial discharge test device is used, and when partial discharge occurs in the tested product, a collection circuit in the partial discharge test device is triggered to communicate with the memory space, and a discharge amount Q is sent to the memory space i Actual voltage and number of discharges n i 。
In some embodiments of the application, elements in the matrix can be sent to a host computer for data analysis or PRPD image rendering and display.
In some embodiments of the application, according to the discharge quantity Q i And original discharge amount data, the discharge amount Q i Normalized to an integer between 0 and 255, specifically:
normalized data is Q i C ：Q i C =[Q i /Q 1 ×255]；
Wherein [ x ]]As a rounding function, the original discharge data comprise the maximum collectable electric quantity Q of the partial discharge test equipment 1 。
In some embodiments of the application, the phase phi is based on discharge i And the quotient between 360 and N, the discharge phase phi i Normalized to an integer between 0 and N, specifically:
normalized data is phi i C ：φ i C =[φ i /(360/N)]；
Wherein [ x ] is a rounding function.
In some embodiments of the application, the N is 90.
In some embodiments of the application, according to the number of discharges n i And maximum number of discharges n max The number of discharge times n i Normalized to an integer between 0 and 255, specifically:
normalized data is n i C ：n i C =[n i /n max ×255]Wherein [ x]As a rounding function.
In this applicationIn some embodiments, the maximum number of discharges n max =t×50。
Wherein t is the total test duration of the tested product;
compared with the prior art, the PRPD image partial discharge data processing method of the embodiment has the following advantages:
(1) The matrix with the space size of 255 x N is opened up, compared with the original PRPD image partial discharge data, the matrix has less occupied space, and the resource space is effectively utilized;
(2) Respectively normalizing the discharge quantity, the phase and the discharge times within the total test duration, and storing the normalized discharge quantity, the phase and the discharge times in a matrix of 255 x N, so that the discharge quantity is normalized to be between 0 and 255, the phase is normalized to be between 0 and N, and the discharge times are normalized to be between 0 and 255, the occupied resource space of data is reduced, the resolution of phase data is reduced, and the discharge times corresponding to each discharge are prevented from being excessively dispersed;
(3) And traversing all data in the matrix, only extracting non-zero data, avoiding the occupation of space by the zero data, improving the effective utilization rate of space resources, and simultaneously improving the PRPD image drawing and analyzing process.
The second object of the present application is to provide a PRPD image partial discharge data processing system, which is used for processing the original PRPD image partial discharge data, so as to reduce the occupied space of data resources, and the processed data has no non-zero data, so as to improve the data processing efficiency.
A PRPD image partial discharge data processing system for processing original PRPD image partial discharge data, the original PRPD image partial discharge data including original phase data and original discharge amount data, the PRPD image partial discharge data processing system comprising:
the matrix creation module is used for opening up a matrix with the size of 255 x N in a memory space, wherein N is 90, 180 or 360, and each element in the matrix occupies 1 byte;
a discharge data acquisition module for exciting the test object by using an excitation signal source which is the same as the power frequency alternating current for acquiring the partial discharge data of the original PRPD image to acquire the discharge quantity Q during partial discharge i Real worldThe inter-voltage and the number of discharges n i ；
A first calculation module for calculating a discharge amount Q i And original discharge amount data, the discharge amount Q i Normalized to an integer Q between 0 and 255 i C ；
A second calculation module for calculating the discharge phase phi based on the known maximum voltage value and the obtained actual voltage i ；
A third calculation module for calculating a discharge phase phi i And the quotient between 360 and N, the discharge phase phi i Normalized to an integer phi between 0 and N i C ；
A fourth calculation module for calculating a discharge frequency n i And maximum number of discharges, n i Normalized to an integer n between 0 and 255 i C ；
A write module for writing n i C Write the corresponding position (Q) of each element in the matrix i C ,φ i C ) A place;
and the extraction module is used for extracting non-zero elements after traversing all elements in the matrix to form a PRPD image non-zero pixel list.
Other features and advantages of the present application will become apparent upon review of the detailed description of the application in conjunction with the drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of data storage of an original PRPD image;
FIG. 2 is a flow chart of an embodiment of a PRPD image partial discharge data processing method according to the present application;
FIG. 3 is a schematic diagram of data storage of a PRPD image after an embodiment of the PRPD image partial discharge data processing method of the present application is adopted;
fig. 4 is a non-zero pixel list of a PRPD image after an embodiment of the PRPD image partial discharge data processing method according to the present application is adopted.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments.
All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application. In the description of the present application, it should be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate describing the present application and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present application.
In the description of the present application, it should be noted that the terms "mounted," "connected," and "coupled" are to be construed broadly, as well as, for example, fixedly coupled, detachably coupled, or integrally coupled, unless otherwise specifically indicated and defined. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art. In the description of the above embodiments, particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
The terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
The partial discharge data processing method of the PRPD image is used for processing the partial discharge data of the original PRPD image, wherein the partial discharge data of the original PRPD image comprises original phase data, original discharge data and original maximum discharge times.
The gray value of one pixel on the PRPD image represents the number of discharges, the abscissa of the PRPD image is the discharge phase Φ, and the ordinate is the discharge Q.
The partial discharge data of the original PRPD image is collected by the collecting circuit in the partial discharge test apparatus as above.
In the partial discharge test equipment, the voltage acquisition resolution is 5V/Bit, the excitation signal source is power frequency alternating current with the maximum peak value of 5kV, the discharge amount acquisition resolution is 0.1pC/Bit, the maximum collectable electric quantity is 2000pC, and the maximum test time is 25.5 seconds.
The collected partial discharge data of the original PRPD image is as follows:
(1) Raw phase data:
phase resolution phi min ：φ min =sin -1 (V min /V max ) =sin -1 (5V/5000V)。
Thus phi min ≈0.0573°。
Width of PRPD image φ ：Width φ =360°/φ min ≈6283。
That is, the digital amounts 0 to 6283 of the original phase data map to phases 0 to 360 °.
(2) Raw discharge amount data:
height Q of PRPD image max ：Q max =2000pC/0.1pC=20000。
That is, the digital amounts 0 to 20000 of the original discharge amount data are mapped to the discharge amounts 0pC to 2000pC.
(3) Raw discharge number data:
maximum number of discharges N: n=25.5 s×50 hz=1275.
The raw phase data, raw discharge amount data, and raw discharge number data as described above are raw PRPD image partial discharge data.
Through the above analysis, a storage schematic of raw data of a PRPD image is shown in fig. 1, in which a box shows one pixel of the PRPD image, and a gray value of the pixel indicates the number of discharges (the number of discharges is between 0 and 1275).
Referring to fig. 1, it can be seen that the original PRPD image partial discharge data has the following problems: (1) The data precision is high, the occupied space is huge, and the space resource utilization rate is reduced; (2) The resolution of the phase data is too high, so that the corresponding pixels of each discharge are too dispersed; (3) Aiming at the same sample, the test is carried out under the same power frequency voltage, the phase and the discharge quantity of partial discharge are concentrated, so that a large amount of zero data occupy the memory space, and the space effective utilization rate is low.
Therefore, the application relates to a PRPD image partial discharge data processing method and a PRPD image partial discharge data processing system aiming at the technical problems.
As follows, a PRPD image partial discharge data processing method and system will be described separately.
Referring to fig. 2, a flow chart of the PRPD image partial discharge data processing method is shown.
S1: a matrix with the size of 255×n is opened up in the memory space, where N is an integer of 90, 180 or 360, and each element in the matrix occupies 1 byte.
The elements in the matrix represent the pixel gray scale, i.e. the number of discharges.
The elements in the matrix occupy 1 byte, and 1 byte is composed of 8-bit binary, i.e., the pixel gray scale is 0 to 255.
The memory space of the present application may refer to an ARM that communicates with the acquisition circuitry in the partial discharge test equipment.
The memory space is used for caching partial discharge data of the total duration t seconds of the discharge test.
In the application, the matrix size is the image size of the finally drawn PRPD image, N represents the maximum value corresponding to the maximum phase, therefore, compared with the prior art when the PRPD image is drawn, the phase data is compressed, the resolution of the phase data is reduced, and the pixel gray corresponding to discharge is relatively concentrated.
At N90, the memory space is about 23KB; when N is 180, the memory space is about 46KB; at 360N, the memory space is about 92KB.
255 denotes the maximum value corresponding to the discharge amount of the finally drawn PRPD image.
N represents the maximum value corresponding to the maximum phase.
S2: exciting the tested object by using an excitation signal source which is the same as power frequency alternating current for acquiring partial discharge data of an original PRPD image to acquire discharge quantity Q during partial discharge i Actual voltage and number of discharges n i 。
Because the partial discharge data of the original PRPD image is processed, an excitation signal source which is the same as the power frequency alternating current for acquiring the partial discharge data of the original PRPD image is needed to be adopted when the data is acquired.
As described above, the excitation signal source is power frequency alternating current with a maximum peak value of 5 kV.
It should be noted that, the partial discharge test apparatus having the same acquisition parameters, that is, the partial discharge test apparatus employs a voltage acquisition resolution of 5V/Bit, a discharge amount acquisition resolution of 0.1pC/Bit, and a maximum collectable electric quantity of 2000pC, wherein the maximum test time may be varied.
S3: according to the discharge quantity Q i And original discharge amount data, the discharge amount Q i Normalized to an integer Q between 0 and 255 i C 。
As described above, the digital amounts 0 to 20000 of the original discharge amount data are mapped to the discharge amounts 0pC to 2000pC.
Therefore, the discharge amount Q is calculated according to the following formula i Normalized to an integer between 0 and 255.
Discharge quantity Q i Normalized data is Q i C ：Q i C =[Q i /Q 1 ×255]；
Wherein [ x ]]The raw PRPD image discharge data includes partial discharge testing as a rounding functionMaximum collectable charge quantity Q of equipment 1 (e.g., 2000pC, the maximum collectable charge with the partial discharge test apparatus as above).
S4: calculating the discharge phase phi from the known maximum voltage value and the obtained actual voltage i 。
According to a known maximum voltage value (i.e. 5 kV) and an actual voltage V i Calculate the discharge phase phi i 。
φ i ：φ i =sin -1 (V i /V max )。
When the partial discharge test apparatus as described above is employed, V max =5kV。
S3 and S4 as described above are not sequentially separated and are labeled S3 and S4 for convenience of description only.
S5: according to discharge phase phi i And the quotient between 360 and N, the discharge phase phi i Normalized to an integer phi between 0 and N i C 。
In some embodiments of the present application, the phases are compressed, mapping the original 0 ° to 360 ° phases to between integers 0 to N.
When N takes 90, the phase of 0 ° to 360 ° is mapped to an integer between 0 and 90.
Discharge phase phi i Normalized data is phi i C ：φ i C =[φ i /(360/N)]。
Wherein [ x ] is a rounding function.
When N is 90 #, phi i C =[φ i /4]The method comprises the steps of carrying out a first treatment on the surface of the When N is 180 #, phi i C =[φ i /2]The method comprises the steps of carrying out a first treatment on the surface of the When N is taken to be 360 #, phi i C =[φ i ]。
In some embodiments of the present application, N is selected to be 90 in consideration of phase resolution and space occupation.
Thus, compared with the original phase mapping of 0 DEG to 360 DEG to the integer of 0 to 6283, the normalized discharge phase phi of the application i C Mapping between integers 0 and 90, reducing phase resolution, and increasing discharge phase numberIs relatively concentrated.
S6: according to the number of discharge times n i And maximum number of discharges n max The number of discharge times n i Normalized to an integer n between 0 and 255 i C 。
As described in S1, the elements in the matrix represent pixel gray scales, i.e., the number of discharges, which are integers of 0 to 255.
Thus, in some embodiments of the application, the number of discharges n is based on the total test duration t i Normalizing for a pulse occurring at discharge phase phi i C Discharge quantity Q i C Is counted as n in partial discharge test i And maps it to an integer from 0 to 255.
Number of discharges n i Normalized data n i C ：n i C =[n i /n max ×255]。
Wherein the maximum number of discharges n max Can be obtained by testing the product of the total time t and the power frequency, i.e. n max =t×50。
The total test duration t may be 25.5s as described above.
S7: will n i C Write the corresponding position (Q) of each element in the matrix i C ,φ i C ) Where it is located.
Result n after mapping i C Called discharge phase phi i C Discharge quantity Q i C The following discharge density parameters.
Wherein, the element i in the matrix is expressed as: m (Q) i C ,φ i C )=n i C Wherein Q is i C ∈[0,255]，φ i C ∈[0,90]，
n i C ∈[0,255]。
For example, the maximum number of discharges n max It can be understood how many sinusoidal cycles occur.
If, in a test with a total test duration of two seconds, 100 sinusoidal cycles occur, i.e. n max =100。
In one partial discharge test, 50 sine cycles appear in the same phase and same discharge quantity, and the normalized discharge density parameter n i C =[n i /n max ×255]=[50/100×255]=128。
For example, in a test with a total test duration of four seconds, 200 sinusoidal cycles occur, i.e., n max =200。
In one partial discharge test, 50 sine cycles appear in the same phase and same discharge quantity, and the normalized discharge density parameter n i C =[n i /n max ×255]=[50/200×255]=64。
After the above steps, the processed partial discharge data is stored in a matrix.
A schematic of the storage of data for normalized PRPD images is shown in fig. 3.
S8: traversing all elements in the matrix, extracting non-zero elements, and forming a PRPD image non-zero pixel list.
Elements within the matrix 255 x 90 are obtained as above, and in conjunction with fig. 3, it is known that there are still a large number of zero elements in the matrix (i.e., the pixel gray scale is zero).
In order to improve the efficiency of drawing the PRPD image, after the test is finished, traversing all elements in the matrix, extracting non-zero elements, and forming a PRPD image non-zero pixel list.
The PRPD image non-zero pixel list storage form is shown in fig. 4.
To facilitate searching for a pixel in the PRPD image non-zero pixel list, the PRPD image non-zero pixel list further includes a plurality of addresses, each address corresponding to a pixel n i C The pixel n i C Location (Q) i C ,φ i C )。
Thus, n under the corresponding address can be obtained according to address traversal when the PRPD image is drawn i C 、Q i C And phi i C 。
Thus, according to the PRPD image non-zero pixel list shown in fig. 4, the PRPD image can be rapidly drawn, and the elements in the matrix can be sent to the upper computer for data analysis or PRPD image drawing and display.
According to the PRPD image partial discharge data processing method, the occupied space of the PRPD image data can be reduced by compressing the original PRPD image data, the drawing efficiency of the PRPD image is improved, and pixels corresponding to each discharge are relatively concentrated.
The application relates to a PRPD image partial discharge data processing system corresponding to the PRPD image partial discharge data processing method, which comprises a matrix creation module, a discharge data acquisition module, a first calculation module, a second calculation module, a third calculation module, a fourth calculation module, a writing module and an extraction module.
The matrix creation module is configured to open up a matrix with a size of 255×n in the memory space, where N is an integer of 90, 180 or 360, and each element in the matrix occupies 1 byte, which is described above, and will not be described herein.
The discharge data acquisition module is used for exciting the tested product by using an excitation signal source which is the same as the power frequency alternating current for acquiring the partial discharge data of the original PRPD image to acquire the discharge quantity Q during partial discharge i Actual voltage and number of discharges n i The specific implementation is described above, and will not be described here.
The first calculation module is used for calculating the discharge quantity Q i And original discharge amount data, the discharge amount Q i Normalized to an integer Q between 0 and 255 i C The specific implementation is described above, and will not be described here.
The second calculation module is used for calculating the discharge phase phi according to the known maximum voltage value and the acquired actual voltage i The specific implementation is described above, and will not be described here.
The third calculation module is used for calculating the phase phi according to the discharge i And the quotient between 360 and N, the discharge phase phi i Normalized to an integer phi between 0 and N i C The specific implementation is described above, and will not be described here.
The fourth calculation module is used for calculating the number n of discharge times i And maximum number of discharges, n i Normalized to an integer n between 0 and 255 i C The specific implementation is described above, and will not be described here.
The writing module is used for writing n i C Write the corresponding position (Q) of each element in the matrix i C ,φ i C ) Here, the specific implementation is referred to as above, and will not be described herein.
The extraction module is configured to extract non-zero elements after traversing all elements in the matrix to form a PRPD image non-zero pixel list, and the specific implementation is described above, and details are not described here.
The working process of the PRPD image partial discharge data processing system is described in detail in the PRPD image partial discharge data processing method, and will not be described herein.
The partial discharge data processing system for the PRPD image can reduce the occupied space of the PRPD image data by compressing the original PRPD image data, improve the drawing efficiency of the PRPD image and relatively concentrate pixels corresponding to each discharge.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be apparent to one skilled in the art that modifications may be made to the technical solutions described in the foregoing embodiments, or equivalents may be substituted for some of the technical features thereof; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. A PRPD image partial discharge data processing method for processing original PRPD image partial discharge data including original phase data and original discharge amount data, characterized by comprising:
opening up a matrix with the size of 255 x N in a memory space, wherein N is 90, 180 or 360, and each element in the matrix occupies 1 byte;
exciting the tested object by using an excitation signal source which is the same as power frequency alternating current for acquiring the partial discharge data of the original PRPD image, and acquiring the discharge quantity Q during partial discharge i Actual voltage and number of discharges n i ；
According to the discharge quantity Q i And original discharge amount data, the discharge amount Q i Normalized to an integer Q between 0 and 255 i C ；
Calculating the discharge phase phi from the known maximum voltage value and the obtained actual voltage i ；
According to discharge phase phi i And the quotient between 360 and N, the discharge phase phi i Normalized to an integer phi between 0 and N i C ；
According to the number of discharge times n i And maximum number of discharges, n i Normalized to an integer n between 0 and 255 i C ；
Will n i C Write the corresponding position (Q) of each element in the matrix i C ,φ i C ) A place;
traversing all elements in the matrix, extracting non-zero elements, and forming a PRPD image non-zero pixel list.
2. The PRPD image partial discharge data processing method of claim 1, wherein the PRPD image non-zero pixel list includes:
a plurality of addresses, each address corresponding to a non-zero element in the matrix and a discharge phase and a discharge amount corresponding to the non-zero element;
wherein the value of the non-zero element represents the number of discharges.
3. The PRPD image partial discharge data processing method according to claim 1, characterized in that a partial discharge test apparatus is employed, and when partial discharge occurs in the test object, an acquisition circuit and the partial discharge test apparatus are triggeredThe memory space communicates, and the discharge quantity Q is sent to the memory space i Actual voltage and number of discharges n i 。
4. The PRPD image partial discharge data processing method of claim 1, characterized in that,
elements in the matrix can be sent to an upper computer for data analysis or PRPD image rendering and display.
5. The PRPD image partial discharge data processing method of claim 1, characterized in that,
according to the discharge quantity Q i And original discharge amount data, the discharge amount Q i Normalized to an integer between 0 and 255, specifically:
normalized data is Q i C ：Q i C =[Q i /Q 1 ×255]；
Wherein [ x ]]As a rounding function, the original discharge data comprise the maximum collectable electric quantity Q of the partial discharge test equipment 1 。
6. The PRPD image partial discharge data processing method according to claim 1 or 5, characterized in that, according to the discharge phase Φ i And the quotient between 360 and N, the discharge phase phi i Normalized to an integer between 0 and N, specifically:
normalized data is phi i C ：φ i C =[φ i /(360/N)]；
Wherein [ x ] is a rounding function.
7. The PRPD image partial discharge data processing method of claim 6, wherein N is 90.
8. The PRPD image partial discharge data processing method according to claim 6, wherein according to the number of discharges n i And maximum number of discharges n max Will discharge timesNumber n i Normalized to an integer between 0 and 255, specifically:
normalized data is n i C ：n i C =[n i /n max ×255]；
Wherein [ x ] is a rounding function.
9. The PRPD image partial discharge data processing method according to claim 7, characterized in that the maximum number of discharges n max =t×50；
Wherein t is the total test duration of the tested product.
10. A PRPD image partial discharge data processing system for processing original PRPD image partial discharge data, the original PRPD image partial discharge data including original phase data and original discharge amount data, the PRPD image partial discharge data processing system comprising:
the matrix creation module is used for opening up a matrix with the size of 255 x N in a memory space, wherein N is 90, 180 or 360, and each element in the matrix occupies 1 byte;
a discharge data acquisition module for exciting the test object by using an excitation signal source which is the same as the power frequency alternating current for acquiring the partial discharge data of the original PRPD image to acquire the discharge quantity Q during partial discharge i Actual voltage and number of discharges n i ；
A first calculation module for calculating a discharge amount Q i And original discharge amount data, the discharge amount Q i Normalized to an integer Q between 0 and 255 i C ；
A second calculation module for calculating the discharge phase phi based on the known maximum voltage value and the obtained actual voltage i ；
A third calculation module for calculating a discharge phase phi i And the quotient between 360 and N, the discharge phase phi i Normalized to an integer phi between 0 and N i C ；
A fourth calculation module for calculating a discharge timeNumber n i And maximum number of discharges, n i Normalized to an integer n between 0 and 255 i C ；
A write module for writing n i C Write the corresponding position (Q) of each element in the matrix i C ,φ i C ) A place;
and the extraction module is used for extracting non-zero elements after traversing all elements in the matrix to form a PRPD image non-zero pixel list.
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